Financing Costs, Per-Shipment Costs and Shipping Frequency: Firm-Level Evidence from Bangladesh
In international trade, firms face lengthy ordering-producing-delivery times and make shipping frequency decisions based on the per-shipment costs and financing costs. In this paper, I develop a model of importer-exporter procurement where the importer procures international inputs from exporting firms in developing countries. The exporters are credit constrained for working capital, incur the per-shipment fixed costs, and get paid after goods are delivered to the importer. The model shows that the shipping frequency increases for high financing costs in origin and destination. Furthermore, longer delivery times increase shipping frequency as well as procurement costs. The model also shows that the higher per-shipment fixed costs reduce the shipping frequency, in line with previous literature. Reduced transaction costs lower the exporter's demand for financial services through shipping frequency adjustment, mitigating the financial frictions of the firm. Then, I empirically investigate whether the conclusions regarding the effect of per-shipment fixed costs on shipping frequency from the theoretical model and in the existing literature extend to developing countries. My estimation method addresses several biases. First, I deal with aggregation bias with the firm, product, and country-level analysis. Second, I consider the Poisson Pseudo Maximum Likelihood (PPML) estimation method to deal with heteroscedasticity bias from the OLS estimation of log-linear models. Third, I fix the distance non-linearity of Bangladeshi exports. Finally, I consider the effect of financing cost on shipping frequency to address omitted variable bias. Using transaction-level export data from Bangladesh, I find that 10% higher per-shipment costs reduce the shipping frequency by 3.45%. The findings are robust to different specifications and subsamples.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Unveiling the Power of Self-Attention for Shipping Cost Prediction: The Rate Card Transformer
Amazon ships billions of packages to its customers annually within the United States. Shipping cost of these packages are used on the day of shipping (day 0) to estimate profitability of sales. Downstream systems utilize…
Think out of the package: Recommending package types for e-commerce shipments
Multiple product attributes like dimensions, weight, fragility, liquid content etc. determine the package type used by e-commerce companies to ship products. Sub-optimal package types lead to damaged shipments, incurring…
A decision-tree framework to select optimal box-sizes for product shipments
In package-handling facilities, boxes of varying sizes are used to ship products. Improperly sized boxes with box dimensions much larger than the product dimensions create wastage and unduly increase the shipping costs. …
ClusteringImproving a Hybrid Graphsage Deep Network for Automatic Multi-objective Logistics Management in Supply Chain
Systematic logistics, conveyance amenities and facilities as well as warehousing information play a key role in fostering profitable development in a supply chain. The aim of transformation in industries is the improveme…
Type predictionA Time-Temperature Dataset for the Strawberry Cold Chain Across Multiple Shipments and Locations
This article describes location aware temperature profiles from six strawberry shipments across the continental United States. Three pallets were instrumented in each shipment with three vertically placed loggers to take…